Instructions to use jdeklerk10/DS-6.7B-schema_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jdeklerk10/DS-6.7B-schema_0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "jdeklerk10/DS-6.7B-schema_0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jdeklerk10/DS-6.7B-schema_0: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/jdeklerk10/DS-6.7B-schema_0/resolve/main/training_args.bin
- Command line
-
hf download hf://jdeklerk10/DS-6.7B-schema_0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jdeklerk10/DS-6.7B-schema_0/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 130e733be65c4343e2db4d138acd2e372c6d1f8203fd38fbae2005d078cd4043
- Size of remote file:
- 4.98 kB
- SHA256:
- ad4accc9969e65e1e23d4e96be0a30c3413fa25ba8adb5a3820229cd749f6753
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